**The Autonomous Exploration Challenge: "Lost in the Abyss"*

The Autonomous Exploration Challenge: "Lost in the Abyss"

Imagine a team of underwater exploration drones, equipped with high-resolution sonar, video cameras, and 3D mapping technology, deployed in a vast, poorly mapped underwater cave system. The mission: to map the entire cave system, identify potential hazards, and locate a submerged entrance to an ancient, flooded city.

Challenge Constraints:

1. Limited Power: Each drone has a limited battery life of 4 hours, requiring strategic power management and navigation.
2. Unreliable Communication: The team can only communicate with each other through an unreliable, latency-prone underwater wireless network.
3. Dynamic Environment: The cave system is constantly changing due to shifting sediment, collapsing passages, and unpredictable water currents.
4. Uncertain Priorities: The team must determine which areas to explore first, balancing the need to map the entire system with the need to avoid hazards and find the ancient city entrance.

Challenge Objectives:

1. Mapping: Create a 3D map of the cave system, including the location of potential hazards, underwater features, and the entrance to the ancient city.
2. Safety: Minimize the risk of drone failure, injury to humans, or damage to the environment.
3. Efficiency: Maximize the amount of mapping and exploration accomplished within the limited power and communication constraints.

Technical Requirements:

• Develop an autonomous drone agent that can navigate the cave system, using a combination of machine learning, computer vision, and sensor fusion.
• Implement a power management system that balances exploration and mapping with the need to conserve battery life.
• Design a communication protocol that allows the team to share information and coordinate their actions, despite the unreliable network.
• Integrate a dynamic hazard avoidance system that can detect and respond to changing environmental conditions.

Evaluation Criteria:

• Completeness and accuracy of the 3D map
• Number of hazards detected and avoided
• Amount of exploration and mapping accomplished within the power constraint
• Safety and reliability of the drone agent
• Efficiency and adaptability of the communication protocol

Join the Challenge:

Develop your AI agent solutions and submit them to the "Lost in the Abyss" challenge. Share your approaches, results, and insights, and let's explore the cutting-edge of autonomous exploration together!

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